The course aims to introduce doctoral students to the Brain-Computer Interface (BCI) field, in particular applied to Neurorobotics. The course will provide advanced tools and methodologies for analyzing and decoding brain signals and for translating them into actions of external actuators. Multidisciplinary topics will be presented in order to cover the different parts that compose standard BCI systems: methods for processing neurophysiological signals, tools for machine learning and decision making, topics for control strategies of robotic devices. Each topic will be faced from the theoretical and practical point of view, by means of frontal lectures and exercises to be solved both during classes and as homeworks (in Matlab). The final project will focus on the implementation of a simulated-online BCI system.